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Boston Dynamics · 3 months ago

Senior Staff Perception/ML Research Engineer

Waltham Office (POST)

Full-time

Onsite

Senior Level, Lead/Staff

7+ years exp

Boston Dynamics is a leader in developing advanced robotic technologies, and they are seeking a Senior Staff Perception/ML Research Engineer to join their Perception and Safety R&D Team. The role involves developing machine learning-based perception models and algorithms that enable robots to operate safely around people, integrating these solutions into embedded systems, and leading cross-functional technical efforts.

Artificial Intelligence (AI)RoboticsSoftware

Growth Opportunities

No H1B

Responsibilities

Help build the systems that allow our robots to operate safely around people

Develop datasets, metrics, and validation plans for ML models

Build, validate, and deploy ML models to detect hazards, humans, and other environmental features

Integrate these models onto our robots' embedded systems to collect data and evaluate performance

Work to improve model accuracy and run-time performance of models on specific hardware

Lead cross-functional technical efforts involving interdisciplinary efforts to develop robotic systems

Work closely with a small team to design and prototype new payloads, platforms, and product features which create safety features for our robots

Qualification

Machine LearningPerception Sensor DataEmbedded SystemsDeep Learning DevelopmentTechnical DocumentationInterdisciplinary TeamworkCross-functional Collaboration

Required

7+ years of experience working with perception sensor data, including stereo, LiDAR, radar, ToF, or IR data

5+ years of experience applying ML to perception problems, ideally on embedded systems

Deep knowledge of state of the art in related areas including human detection, autonomous vehicle and driver assist systems, and robot safety

Experience developing and deploying ML-based perception software for time-sensitive control systems, such as robotics

Experience developing specifications for perception systems from high-level product requirements

Experience with the full lifecycle of deep learning development, including network design, data management, training, evaluation, hyperparameter search, deployment, and validation

Strong communication skills, including ability to author technical documentation and deliver presentations on technical topics

History of leading cross-functional technical efforts through planning, technical requirement development, and interdisciplinary collaboration

History of working in small, interdisciplinary teams